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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: JSON parse error: Missing a closing quotation mark in string. in row 13
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables
dataset = json.load(f)
File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/usr/local/lib/python3.9/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/local/lib/python3.9/json/decoder.py", line 340, in decode
raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 88961)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 148, in _generate_tables
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Missing a closing quotation mark in string. in row 13
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text string | meta dict |
|---|---|
\section{\label{sec:level1}Introduction}
Scalar transport in turbulence plays significant roles in various practical applications, ranging from geophysical and environmental problems such as the advection and dispersion of pollutants in the atmosphere \citep{nironi2015dispersion,mazzitelli2012active}, mixing of nutri... | {
"timestamp": "2022-11-01T01:27:09",
"yymm": "2210",
"arxiv_id": "2210.17336",
"language": "en",
"url": "https://arxiv.org/abs/2210.17336"
} |
\section{Background and notation}
\label{sec:background}
\subsection{Discrete DPPs}
\label{sec:discrete-dpps}
For more background on discrete DPPs, we refer readers to
\cite{kulesza2012determinantal} and \cite{tremblay2022extended}. Discrete DPPs
are a specific instance of a \emph{discrete point process}. We say $\... | {
"timestamp": "2022-11-01T01:28:00",
"yymm": "2210",
"arxiv_id": "2210.17358",
"language": "en",
"url": "https://arxiv.org/abs/2210.17358"
} |
"\\chapter*{Abstract}\n\\addcontentsline{toc}{chapter}{Abstract}\n\nReinforcement learning (rl) is a(...TRUNCATED) | {"timestamp":"2022-11-01T01:28:11","yymm":"2210","arxiv_id":"2210.17368","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\nStudying causality in real-world environments is often challenging because(...TRUNCATED) | {"timestamp":"2022-11-01T01:26:03","yymm":"2210","arxiv_id":"2210.17283","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\n\tA classical result of Hajnal \\cite{hajnal1983partition} and Thomassen(...TRUNCATED) | {"timestamp":"2022-11-15T02:28:43","yymm":"2210","arxiv_id":"2210.17371","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\nThere are lots of interests in studying supersymmetric theory with eight s(...TRUNCATED) | {"timestamp":"2022-11-01T01:26:49","yymm":"2210","arxiv_id":"2210.17324","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec:intro}\n\nThese guidelines include complete descriptions of th(...TRUNCATED) | {"timestamp":"2022-11-01T01:26:36","yymm":"2210","arxiv_id":"2210.17310","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\subsection{Overview}\n\\subsubsection{Traces and characters}\nIn linear (...TRUNCATED) | {"timestamp":"2022-11-01T01:28:07","yymm":"2210","arxiv_id":"2210.17364","language":"en","url":"http(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec:intro}\n\nMultimodal data can provide complementary informatio(...TRUNCATED) | {"timestamp":"2022-11-01T01:26:12","yymm":"2210","arxiv_id":"2210.17292","language":"en","url":"http(...TRUNCATED) |
"\\section{}} \\textcolor{PineGreen} \\textcolor{BrickRed}\n\n\n\n \\def\\mathfrak sp{\\mathfrak sp(...TRUNCATED) | {"timestamp":"2022-11-30T02:17:55","yymm":"2210","arxiv_id":"2210.17306","language":"en","url":"http(...TRUNCATED) |
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